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<div class="title">D:/Travail/These/Determination caracteristiques camera/GSoC/SfM/src/PointsToTrackWithImage.h</div>  </div>
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<div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 <span class="preprocessor">#ifndef _GSOC_SFM_POINTS_TO_TRACK_SIFT_H</span>
<a name="l00002"></a>00002 <span class="preprocessor"></span><span class="preprocessor">#define _GSOC_SFM_POINTS_TO_TRACK_SIFT_H 1</span>
<a name="l00003"></a>00003 <span class="preprocessor"></span>
<a name="l00004"></a>00004 <span class="preprocessor">#include &quot;macro.h&quot;</span> <span class="comment">//SFM_EXPORTS</span>
<a name="l00005"></a>00005 <span class="preprocessor">#include &quot;PointsToTrack.h&quot;</span>
<a name="l00006"></a>00006 
<a name="l00007"></a>00007 <span class="keyword">namespace </span>OpencvSfM{
<a name="l00008"></a>00008 
<a name="l00015"></a><a class="code" href="class_opencv_sf_m_1_1_points_to_track_with_image.html">00015</a>   <span class="keyword">class </span>SFM_EXPORTS <a class="code" href="class_opencv_sf_m_1_1_points_to_track_with_image.html" title="This class can be used to find points and features in pictures using SIFT detector.">PointsToTrackWithImage</a> :
<a name="l00016"></a>00016     <span class="keyword">public</span> <a class="code" href="class_opencv_sf_m_1_1_points_to_track.html" title="This class can be used to store informations about point and features. This is an abstract class: you...">PointsToTrack</a>
<a name="l00017"></a>00017   {
<a name="l00018"></a>00018   <span class="keyword">protected</span>:
<a name="l00019"></a><a class="code" href="class_opencv_sf_m_1_1_points_to_track_with_image.html#a22779db7344fed472cebc4a00ecef631">00019</a>     cv::Ptr&lt;cv::FeatureDetector&gt; <a class="code" href="class_opencv_sf_m_1_1_points_to_track_with_image.html#a22779db7344fed472cebc4a00ecef631" title="class which will find the points">feature_detector_</a>;
<a name="l00020"></a><a class="code" href="class_opencv_sf_m_1_1_points_to_track_with_image.html#ac43985b39b4b99ffff25926f1e9ece66">00020</a>     cv::Ptr&lt;cv::DescriptorExtractor&gt; <a class="code" href="class_opencv_sf_m_1_1_points_to_track_with_image.html#ac43985b39b4b99ffff25926f1e9ece66" title="class which will compute the descriptors">descriptor_detector_</a>;
<a name="l00021"></a><a class="code" href="class_opencv_sf_m_1_1_points_to_track_with_image.html#adccc33e14b09ecbe0d5963b405e58d48">00021</a>     cv::Mat <a class="code" href="class_opencv_sf_m_1_1_points_to_track_with_image.html#adccc33e14b09ecbe0d5963b405e58d48" title="Picture from where points are detected.">imageToAnalyse_</a>;
<a name="l00022"></a><a class="code" href="class_opencv_sf_m_1_1_points_to_track_with_image.html#a4fe39d059ba8a892abe3a1d998626806">00022</a>     cv::Mat <a class="code" href="class_opencv_sf_m_1_1_points_to_track_with_image.html#a4fe39d059ba8a892abe3a1d998626806" title="Mask of analyse. Everything out of this mask is ignored.">maskOfAnalyse_</a>;
<a name="l00023"></a>00023     
<a name="l00028"></a>00028     <span class="keywordtype">int</span> impl_computeKeypoints_( );
<a name="l00032"></a>00032     <span class="keywordtype">void</span> impl_computeDescriptors_( );
<a name="l00033"></a>00033   <span class="keyword">public</span>:
<a name="l00042"></a>00042     <a class="code" href="class_opencv_sf_m_1_1_points_to_track_with_image.html" title="This class can be used to find points and features in pictures using SIFT detector.">PointsToTrackWithImage</a>( <span class="keywordtype">int</span> corresponding_image,cv::Mat imageToAnalyse,
<a name="l00043"></a>00043       cv::Mat maskOfAnalyse, cv::Ptr&lt;cv::FeatureDetector&gt; feature_detector=0,
<a name="l00044"></a>00044       cv::Ptr&lt;cv::DescriptorExtractor&gt; descriptor_detector=0 );
<a name="l00053"></a>00053     <a class="code" href="class_opencv_sf_m_1_1_points_to_track_with_image.html" title="This class can be used to find points and features in pictures using SIFT detector.">PointsToTrackWithImage</a>( <span class="keywordtype">int</span> corresponding_image, cv::Mat imageToAnalyse,
<a name="l00054"></a>00054       cv::Mat maskOfAnalyse, std::string feature_detector,
<a name="l00055"></a>00055       std::string descriptor_detector=<span class="stringliteral">&quot;SIFT&quot;</span> );
<a name="l00056"></a>00056     ~<a class="code" href="class_opencv_sf_m_1_1_points_to_track_with_image.html" title="This class can be used to find points and features in pictures using SIFT detector.">PointsToTrackWithImage</a>( <span class="keywordtype">void</span> );
<a name="l00057"></a>00057     
<a name="l00062"></a>00062     <span class="keywordtype">void</span> setFeatureDetector( cv::Ptr&lt;cv::FeatureDetector&gt; feature_detector );
<a name="l00067"></a>00067     <span class="keywordtype">void</span> setDescriptorExtractor( cv::Ptr&lt;cv::DescriptorExtractor&gt; descriptor_detector );
<a name="l00071"></a>00071     <span class="keywordtype">void</span> getColorOfPoints();
<a name="l00072"></a>00072 
<a name="l00076"></a><a class="code" href="class_opencv_sf_m_1_1_points_to_track_with_image.html#a9ff5742f62dd25f41648bda5476a0597">00076</a>     <span class="keyword">inline</span> cv::Mat <a class="code" href="class_opencv_sf_m_1_1_points_to_track_with_image.html#a9ff5742f62dd25f41648bda5476a0597">getImage</a>( ){<span class="keywordflow">return</span> imageToAnalyse_;};
<a name="l00077"></a>00077   };
<a name="l00078"></a>00078 
<a name="l00079"></a>00079 }
<a name="l00080"></a>00080 
<a name="l00081"></a>00081 <span class="preprocessor">#endif</span>
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